改进力场转换理论的多尺度图像边缘检测算法

摘要

In order to improve the positioning accuracy and deal noise of the multi-scale edge detection algorithm, a new method combines the force field transformation and multi-scale edge detection algorithm is proposed. New algorithm calcu-lates inertial product energy of each pixel and uses it to obtain the force of pixels. In each scale, the image edge is obtained by self-adaptive threshold. The final image edge is received by executing from coarse to fine edge tracking. The experi-mental results show that the new algorithm effectively suppresses noise and improves the detection accuracy.%为了提高多尺度边缘检测算法的定位精度，更好地抑制图像中的噪声和细节，将改进力场转换理论与多尺度图像边缘检测算法相结合，提出了改进力场转换理论的多尺度图像边缘检测算法。新算法计算每个尺度下图像中各像素点的内积能量值，利用内积能量值计算各个像素点间的引力；采用自适应阈值得到每一尺度下图像的边缘；在小尺度的检测结果下定位，执行由粗到细的边缘跟踪，得到最终的边缘结果。实验结果表明，新算法可以有效地抑制噪声，提高边缘检测的定位精度。